GrahamPaasch
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Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
🦜🔗 Build context-aware reasoning applications
Stable Diffusion web UI
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ReFT: Representation Finetuning for Language Models
[NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
Source code for a LoRA-based continual relation extraction method.
[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
✨✨Latest Advances on Multimodal Large Language Models
Adding new tasks to T0 without catastrophic forgetting
Replication package of the paper "On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Languages Models of Code" (FSE 2023)
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
[CVPR 2024] Interactive continual learning: Fast and slow thinking
Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
A peer-to-peer microlending platform @ HackGT 23
A guidance language for controlling large language models.
📖 The repository contains my notes and code following the course "Python Regular Expressions Complete Masterclass" by Mihai Cătălin Teodosiu on Udemy.
📖 The repository contains my notes and codes following the course "Python: Design Patterns" by Jungwoo Ryoo on Linkedin Learning.
📖 The repository contains my notes and code following the course "Python OOP Crash Course" by Mihai Cătălin Teodosiu on Udemy.